Description Usage Arguments Value Examples
To find geneset markers of each cluster
1 2 3 4 5 6 7 8 9 10 11 12 13 | GSVA_find_gs_markers(
em = NULL,
seurat_object = NULL,
gspath = NULL,
species = "mouse",
adjPvalueCutoff = 0.001,
filename = NULL,
logFCcutoff = 0.1,
text.size = 2,
topn = 20,
min.sz = 2,
parallel.sz = 12
)
|
em |
expression matrix as genes in row, samples or cells in column |
seurat_object |
it also support a seurat_object instead of expression matrix |
gspath |
the correct path of your geneset file(.gmt) |
species |
species of the seurat.obj or matrix |
adjPvalueCutoff |
cutof the P.adjust |
filename |
the name of the generated file |
logFCcutoff |
cutof the logFC |
text.size |
the size of the text |
topn |
number of the top pathways |
min.sz |
minimum size of the resulting gene sets |
parallel.sz |
number of threads of execution to use when doing the calculations in parallel. |
seurat.obj with the marker_gs
1 2 3 4 5 6 | ## Not run:
input.file <- system.file('extdata','pbmc_1k.RDS',package = 'LIANLABDATA')
pbmc_1k <- readRDS(input.file)
GSVA_pheatmap( seurat_object = pbmc_1k,species="mouse")
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.